Results 21 to 30 of about 1,101,361 (277)
Video Object Detection Guided by Object Blur Evaluation
IEEE Access, 2020 In recent years, the excellent image-based object detection algorithms are transferred to the video object detection directly. These frame-by-frame processing methods are suboptimal owing to the degenerate object appearance such as motion blur, defocus ...
Yujie Wu +4 more
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YOLOv7-3D: A Monocular 3D Traffic Object Detection Method from a Roadside Perspective
Applied Sciences, 2023 Current autonomous driving systems predominantly focus on 3D object perception from the vehicle’s perspective. However, the single-camera 3D object detection algorithm in the roadside monitoring scenario provides stereo perception of traffic objects ...
Zixun Ye +3 more
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Fast Recognition and Counting Method of Dragon Fruit Flowers and Fruits Based on Video Stream
Sensors, 2023 Dragon fruit (Hylocereus undatus) is a tropical and subtropical fruit that undergoes multiple ripening cycles throughout the year. Accurate monitoring of the flower and fruit quantities at various stages is crucial for growers to estimate yields, plan ...
Xiuhua Li +5 more
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RecFRCN: Few-Shot Object Detection With Recalibrated Faster R-CNN
IEEE Access, 2023 Currently, Faster R-CNN serves as the fundamental detection framework in the majority of few-shot object detection algorithms. However, due to limited samples per class, the Faster R-CNN’s classification branch faces limitations in capturing ...
Youyou Zhang, Tongwei Lu
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Generic Object Detection With Dense Neural Patterns and Regionlets [PDF]
, 2014 This paper addresses the challenge of establishing a bridge between deep convolutional neural networks and conventional object detection frameworks for accurate and efficient generic object detection.
Lin, Yuanqing +3 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 RGB–infrared object detection in remote-sensing images is crucial for achieving around-clock surveillance of unmanned aerial vehicles.
Jin Xie +4 more
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BlitzNet: A Real-Time Deep Network for Scene Understanding [PDF]
, 2017 Real-time scene understanding has become crucial in many applications such as autonomous driving. In this paper, we propose a deep architecture, called BlitzNet, that jointly performs object detection and semantic segmentation in one forward pass ...
Dvornik, Nikita +3 more
core +4 more sources
IET Computer Vision, 2020 Owing to large‐scale diversity and location uncertainty in object detection, how to enrich semantic information has become an important issue that attracts a lot of concern.
Jinding Wang, Haifeng Hu, Xinlong Lu
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Efficient and Scalable Object Localization in 3D on Mobile Device
Journal of Imaging, 2022 Two-Dimensional (2D) object detection has been an intensely discussed and researched field of computer vision. With numerous advancements made in the field over the years, we still need to identify a robust approach to efficiently conduct classification ...
Neetika Gupta, Naimul Mefraz Khan
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A Survey of Object Detection for UAVs Based on Deep Learning
Remote Sensing, 2023 With the rapid development of object detection technology for unmanned aerial vehicles (UAVs), it is convenient to collect data from UAV aerial photographs.
Guangyi Tang +4 more
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